Yung-Ju Chang
John C. Tang
ABSTRACT
Smartphones are considered to be "always on, always connected" but mobile users are not always attentive and responsive to incoming communication. We present a mixed methods study investigating how mobile users use ringer modes for managing interruption by and awareness of incoming communication, and how these practices and locales affect their attentiveness and responsiveness. We show that mobile users have diverse ringer mode usage, but they switch ringer modes mainly for three purposes: avoiding interruption, preventing the phone from disrupting the environment, and noticing important notifications. In addition, without signals of notifications, users are less likely to immediately attend to notifications, but they are not less responsive to those they have attended. Finally, ringer mode switches, attentiveness, and responsiveness are all correlated with certain locales. We discuss implications from these findings, and suggest how future CMC tools and notification services take different purposes for using ringer modes and locales into consideration.
- Avrahami, D., Fussell, S.R., and Hudson, S.E. IM waiting: timing and responsiveness in semi-synchronous communication. CSCW'08, ACM(2008), 285--294. Google Scholar
Digital Library
- Battestini, A., Setlur, V., and Sohn, T. A large scale study of text-messaging use. MobileHCI'10, ACM (2010) Google ScholarDigital Library
- Christensen, T.C., Barrett, L.F., Bliss-Moreau, E., Lebo, K., and Kaschub, C. A practical guide to experience-sampling procedures. Journal of Happiness Studies 4, 1 (2003), 53--78.Google ScholarCross Ref
- Consolvo, S. and Walker, M. Using the experience sampling method to evaluate ubicomp applications. Pervasive Computing, IEEE 2, 2 (2003), 24--31. Google ScholarDigital Library
- Danninger, M., Kluge, T., and Stiefelhagen, R. MyConnector: Analysis of Context Cues to Predict Human Availability for Communication. ICMI'06, ACM (2006), 12--19. Google ScholarDigital Library
- Ferreira, D., Gonçalves, J., Kostakos, V., Barkhuus, L., and Dey, A.K. Contextual Experience Sampling of Mobile Application Micro-Usage. MobileHCI'14, ACM (2014), 91--100 Google ScholarDigital Library
- Fetter, M., Seifert, J., and Gross, T. Predicting Selective Availability for Instant Messaging. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque and M. Winckler, eds., INTERACT 2011. Springer Berlin Heidelberg, 2011, 503--520. Google ScholarDigital Library
- Fischer, J.E., Yee, N., Bellotti, V., Good, N., Benford, S., and Greenhalgh, C. Effects of content and time of delivery on receptivity to mobile interruptions. MobileHCI'10, ACM (2010), 103--112. Google ScholarDigital Library
- Fogarty, J., Lai, J., and Christensen, J. Presence versus availability: the design and evaluation of a context-aware communication client. International Journal of Human-Computer Studies 61, 3 (2004), 299--317. Google ScholarDigital Library
- De Guzman, E.S., Sharmin, M., and Bailey, B.P. Should I call now? Understanding what context is considered when deciding whether to initiate remote communication via mobile devices. GI'07, ACM (2007), 143--150. Google ScholarDigital Library
- Lin, K., Kansal, A., Lymberopoulos, D., and Zhao, F. Energy-accuracy trade-off for continuous mobile device location. MobiSys'10, (2010), 285--298. Google ScholarDigital Library
- Ljungstrand, P. Context awareness and mobile phones. Personal and Ubiquitous Computing 5, 1 (2001), 58--61. Google ScholarDigital Library
- Mihalic, K. and Tscheligi, M. 'Divert: mother-in-law': representing and evaluating social context on mobile devices. MobileHCI'07, ACM (2007), 257--264. Google ScholarDigital Library
- Pejovic, V. and Musolesi, M. InterruptMe: designing intelligent prompting mechanisms for pervasive applications. Ubicomp'14, ACM (2014), 897--908. Google ScholarDigital Library
- Pielot, M., Church, K., and de Oliveira, R. An In-Situ Study of Mobile Phone Notifications. MobileHCI'14, ACM (2014), 233--242. Google ScholarDigital Library
- Pielot, M., de Oliveira, R., Kwak, H., and Oliver, N. Didn't you see message? predicting attentiveness to mobile instant messages. CHI'14, (2014), 3319--3328 Google ScholarDigital Library
- Poppinga, B., Heuten, W., and Boll, S. Sensor-Based identification of opportune Moments for triggering notifications. Pervasive Computing, IEEE 13, 1, 22--29. Google ScholarDigital Library
- Rosenthal, S., Dey, A.K., and Veloso, M. Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models. In K. Lyons, J. Hightower and E.M. Huang, eds., Pervasive Computing. Springer Berlin Heidelberg, 2011, 170--187. Google ScholarDigital Library
- Sahami Shirazi, A., Henze, N., Dingler, T., Pielot, M., Weber, D., and Schmidt, A. Large-scale assessment of mobile notifications. CHI'14, ACM (2014), 3055--3064. Google ScholarDigital Library
- Sarker, H., Sharmin, M., Ali, A.A., et al. Assessing the Availability of Users to Engage in Just-in-time Intervention in the Natural Environment. Ubicomp'14, ACM (2014), 909--920. Google ScholarDigital Library
- Schmidt, A., Takaluoma, A., and Mäntyjärvi, J. Context-aware telephony over WAP. Personal Technologies 4, 4 (2000), 225--229. Google ScholarDigital Library
- Recognizing the User's Current Activity. Recognizing the User's Current Activity. http://developer.android.com/training/location/activity-recognition.htmlGoogle Scholar
Index Terms
- Investigating Mobile Users' Ringer Mode Usage and Attentiveness and Responsiveness to Communication
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